Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci

The identified genes help link the genetic variation at obesity-risk loci to biological mechanisms and health outcomes, thus translating GWAS findings to function.

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Publication Details

Journal
International Journal of Obesity
Published
2025-09-26
DOI
https://doi.org/10.1038/s41366-025-01898-z
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci

Anita L. DeStefano, Daniel L. Levy, Sudha S. Seshadri, Ruth J. F. Loos et al.
International Journal of Obesity
Genetic Associations and Epidemiology
article

Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci

Anita L. DeStefano, Daniel L. Levy, Sudha S. Seshadri, Ruth J. F. Loos, Honghuang Lin, Lauren E. Petty, Geetha Chittoor, Christopher D. Still, Jennifer E Below, Jerome I. Rotter, Tooraj Mirshahi, Mariaelisa Graff, Karen L. Mohlke, Joseph B. McCormick, Nancy L. Heard‐Costa, Anne E. Justice, Kari E. North, Mohammad Yaser Anwar, Jennifer A. Brody, Ian Dinsmore, Ching‐Ti Liu, Hung‐Hsin Chen, Abbey Kollu, Shreyash Gupta, Hanfei Xu, Anne Marie Cawley, Susan P. Fisher-Hoch, L. Adrienne Cupples
article en

Abstract

The identified genes help link the genetic variation at obesity-risk loci to biological mechanisms and health outcomes, thus translating GWAS findings to function.

International Journal of ObesityVol. 49(11)
Boston University (US), University of North Carolina at Chapel Hill (US), University of Copenhagen (DK), National Institutes of Health (US), University of Massachusetts Chan Medical School (US), University of Washington (US), Novo Nordisk Foundation (DK), UCLA Medical Center (US), Institute of Biomedical Sciences, Academia Sinica (TW), Lung Institute (US), Institute of Sociology, Academia Sinica (TW), National Heart, Lung, and Blood Institute (US), Institute of Physics, Academia Sinica (TW), Institute for Neurodegenerative Disorders (US), Brownsville Public Library (US), The University of Texas Health Science Center (US), Genomic Health (United States) (US), Harbor–UCLA Medical Center (US), Geisinger Health System (US), Vanderbilt University Medical Center (US), Icahn School of Medicine at Mount Sinai (US)
U.S. Department of Health and Human Services, Regeneron Pharmaceuticals, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases, Center for Information Technology, National Center on Minority Health and Health Disparities, National Center for Advancing Translational Sciences, NHLBI Division of Intramural Research
Openalex Percentile: Top 72%
Genetic Associations and Epidemiology
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